Suchergebnisse - "adaptive boosting algorithm"

AdaBoost.SDM: Similarity and dissimilarity-based manifold regularized adaptive boosting algorithm

Autoren: Azamat Mukhamediya Amin Zollanvari

Quelle: Pattern Recognition Letters. 196:66-71

Optimizing Content Recommendation System in Innovation and Entrepreneurship Education Platform Using Adaptive Boosting Algorithm

Autoren: Bofeng Mi

Quelle: Proceedings of the 2025 International Conference on Artificial Intelligence and Educational Systems. :46-51

TEXT CLASSIFICATION USING ADAPTIVE BOOSTING ALGORITHM WITH OPTIMIZATION OF PARAMETERS TUNING ON CABLE NEWS NETWORK (CNN) ARTICLES

Autoren: Sutanto Sutanto Harun Al Rasyid Krisna Sidiq et al.

Quelle: Barekeng, Vol 18, Iss 2, Pp 1297-1306 (2024)

Schlagwörter: classification, news article, parameter tuning, Probabilities. Mathematical statistics, QA273-280, adaboost

Zugangs-URL: https://doaj.org/article/ec3e9ef5de454be4b21b16c680cb37ca

Classification of Disaster Risks in the Philippines using Adaptive Boosting Algorithm with Decision Trees and Support Vector Machine as Based Estimators

Autoren: Donata D Acula

Quelle: Journal of Modeling and Simulation of Materials; Vol. 4 No. 1 (2021); 7-18

Schlagwörter: decision trees, 0202 electrical engineering, electronic engineering, information engineering, disaster risks, support vector machine, adaptive boosting algorithm, 02 engineering and technology

Dateibeschreibung: application/pdf

Zugangs-URL: https://journals.aijr.org/index.php/jmsm/article/download/3386/394
https://journals.aijr.org/index.php/jmsm/article/view/3386
https://journals.aijr.in/index.php/jmsm/article/download/3386/394
https://journals.aijr.org/index.php/jmsm/article/download/3386/394

Modeling of regional GNSS network using adaptive boosting algorithm: a case study in the Xinjiang Uyghur Autonomous Region

Autoren: Zhen Li Tieding Lu

Quelle: GPS Solutions. 29

An Adaptive Boosting Algorithm-based Method of Charging Equipment for Fault Warning

Autoren: Long Yi Xu Tingting Wang Song et al.

Quelle: 2023 5th International Conference on Power and Energy Technology (ICPET). :441-445

Credit Risk Analysis With Extreme Gradient Boosting and Adaptive Boosting Algorithm

Autoren: Rosa Delima Mendrofa Maria Hosianna Siallagan Junita Amalia et al.

Quelle: Journal of Information System,Graphics, Hospitality and Technology. 5:1-7

Lung Cancer Nodules Detection via an Adaptive Boosting Algorithm Based on Self-Normalized Multiview Convolutional Neural Network

Autoren: Adeel Khan Irfan Tariq Haroon Khan et al.

Quelle: J Oncol

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Research Article, 3. Good health

Dateibeschreibung: text/xhtml

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36199795

Adaboost-DSNN: an adaptive boosting algorithm based on deep self normalized neural network for pulsar identification

Autoren: Irfan Tariq Qiao Meng Shunyu Yao et al.

Quelle: Monthly Notices of the Royal Astronomical Society. 511:683-690

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A novel adaptive boosting algorithm with distance-based weighted least square support vector machine and filter factor for carbon fiber reinforced polymer multi-damage classification

Autoren: Wenjuan Sheng Yutao Liu Dirk Söffker

Quelle: Structural Health Monitoring. 22:1273-1289

Schlagwörter: Maschinenbau, 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85131207926
https://doi.org/10.1177/14759217221098173

Recognizing Threat through Object and Gesture Recognition by Applying Convolutional Neural Network and Adaptive Boosting Algorithm Using Microsoft Kinect for Xbox One

Autoren: Roselito E. Tolentino Janielle D. Antiporta Ariane Grace B. Hernandez et al.

Quelle: 2021 IEEE Madras Section Conference (MASCON). :1-8

Zugangs-URL: http://xplorestaging.ieee.org/ielx7/9563254/9563258/09563498.pdf?arnumber=9563498
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9563498

An adaptive boosting algorithm based on weighted feature selection and category classification confidence

Autoren: Lizhou Feng Youwei Wang

Quelle: Applied Intelligence. 51:6837-6858

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s10489-020-02184-3.pdf
https://doi.org/10.1007/s10489-020-02184-3
https://dblp.uni-trier.de/db/journals/apin/apin51.html#WangF21

AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

Autoren: TM McGinnity Aboozar Taherkhani Georgina Cosma

Quelle: Neurocomputing. 404:351-366

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: application/pdf

Zugangs-URL: https://dora.dmu.ac.uk/bitstream/2086/19449/1/AdaBoost-CNN-%20Aboozar.pdf
https://irep.ntu.ac.uk/id/eprint/39571/1/1313786_McGinnity.pdf
https://dblp.uni-trier.de/db/journals/ijon/ijon404.html#TaherkhaniCM20
http://irep.ntu.ac.uk/id/eprint/39571/
https://doi.org/10.1016/j.neucom.2020.03.064
https://pure.ulster.ac.uk/en/publications/adaboost-cnn-an-adaptive-boosting-algorithm-for-convolutional-neu
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=202002291074438179
https://ulster-staging.pure.elsevier.com/en/publications/adaboost-cnn-an-adaptive-boosting-algorithm-for-convolutional-neu

A Face Detection Method Based on Image Processing and Improved Adaptive Boosting Algorithm

Autoren: Xianwei Li Wanli Zhang Qixiang Song et al.

Quelle: Traitement du Signal. 37:395-403

Schlagwörter: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://www.iieta.org/download/file/fid/36047
https://dblp.uni-trier.de/db/journals/tds/tds37.html#ZhangLSL20
https://doi.org/10.18280/ts.370306
https://www.iieta.org/journals/ts/paper/10.18280/ts.370306

Use of Adaptive Boosting Algorithm to Estimate User's Trust in the Utilization of Virtual Assistant Systems

Autoren: Akazue Maureen Onovughe Anthonia Omede, Edith et al.

Schlagwörter: 9. Industry and infrastructure

Detection of Arrhythmia Using Adaptive Boosting Algorithm

Autoren: Harpreet Kaur Shruti Bhargava Choubey Abhishek Choubey et al.

Quelle: Lecture Notes in Networks and Systems ISBN: 9789811685118

Adaptive boosting algorithm-based turbofan engine direct data-driven control method

Improved Machine Learning using Adaptive Boosting algorithm in Membrane Protein Prediction

Autoren: Anjna Jayant Deen Manasi Gyanchandani

Quelle: International Journal of Innovative Technology and Exploring Engineering. 8:3131-3137

An FPGA Implementation for Image Interpretation Based on Adaptive Boosting Algorithm in the Real-Time Systems

Autoren: Mario Alberto Ibarra-Manzano Dora-Luz Almanza-Ojeda

Quelle: Procedia Technology. 3:187-195

Schlagwörter: Texture and Color Features, Adaptive Boosting Algorithm, 0202 electrical engineering, electronic engineering, information engineering, Real-Time Systems, 02 engineering and technology, FPGA Architecture

Zugangs-URL: https://isiarticles.com/bundles/Article/pre/pdf/7272.pdf
http://www.sciencedirect.com/science/article/pii/S2212017312002496
http://isiarticles.com/bundles/Article/pre/pdf/7272.pdf
https://core.ac.uk/display/82688215
https://www.sciencedirect.com/science/article/pii/S2212017312002496

Vision-Based Human Action Classification Using Adaptive Boosting Algorithm

Autoren: Nabil Zerrouki Fouzi Harrou Ying Sun et al.

Weitere Verfasser: Nabil Zerrouki Fouzi Harrou Ying Sun et al.

Quelle: IEEE Sensors Journal. 18:5115-5121

Schlagwörter: Image segmentation, Monitoring, gesture recognition, Shape, 02 engineering and technology, 15. Life on land, 3. Good health, 13. Climate action, vision computing, cascade classifier, Fall detection, 0202 electrical engineering, electronic engineering, information engineering, Feature extraction, Wearable sensors, 14. Life underwater, Video sequences

Dateibeschreibung: application/pdf

Zugangs-URL: https://repository.kaust.edu.sa/bitstream/10754/627907/1/08355489.pdf
https://ieeexplore.ieee.org/document/8355489
https://repository.kaust.edu.sa/handle/10754/627907
https://repository.kaust.edu.sa/bitstream/10754/627907/1/08355489.pdf
http://ui.adsabs.harvard.edu/abs/2018ISenJ..18.5115Z/abstract